Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
复制标题
陆地碳循环的遥感：50年来进展综述
DOI：
10.1016/j.rse.2019.111383
复制
发表时间：
2019-11
影响因子：
13.5
通讯作者：
J. Xiao;F. Chevallier;C. Gomez;L. Guanter;J. Hicke;A. Huete;K. Ichii;W. Ni;Y. Pang;Abdullah F.
中科院分区：
文献类型：
--
作者：
J. Xiao;F. Chevallier;C. Gomez;L. Guanter;J. Hicke;A. Huete;K. Ichii;W. Ni;Y. Pang;Abdullah F.
量化生态系统碳通量和碳储量对于更好地理解全球碳循环和改进碳-气候反馈的预测至关重要。在过去的五十年里，遥感通过量化碳通量和碳储量在这一努力中发挥了至关重要的作用。自1970年代以来，特别是1980年代初，由于有了对陆地表面的卫星观测，因此可以在区域乃至全球范围内量化生态系统的碳通量和碳储量。在这里，我们提供了一个审查的进展，遥感陆地碳循环从20世纪70年代初到现在。首先，我们提出了一个概述陆地碳循环和遥感碳通量和股票。在电磁波谱的宽波长范围（可见光、红外线和微波）内获得的遥感数据已被用于估算碳通量和/或储存量。其次，我们提供了一个历史的概述，在遥感地球碳循环的关键里程碑。第三，我们回顾了碳通量遥感的平台/传感器，方法，发现和挑战。用于量化碳通量的遥感数据和技术包括植被指数、光利用效率模型、陆地生物圈模型、数据驱动（或机器学习）方法、太阳诱导叶绿素荧光、地表温度和大气逆温。第四，我们回顾的平台/传感器，方法，发现，和挑战，在被动光学，微波和激光雷达遥感生物质碳储量以及遥感土壤有机碳。第五，我们回顾了碳循环干扰影响的遥感研究进展。第六，我们还讨论了由此产生的碳通量和储量估计的不确定性和验证。最后，我们提供了一个前瞻性的观点和见解，未来的研究和方向遥感陆地碳循环。预计遥感在未来的碳循环研究中将发挥越来越重要的作用。对陆地碳循环遥感50年的全面和有见地的审查是及时和有价值的，可以使各种研究团体的科学家受益（例如，碳循环、遥感、气候变化、生态学），并为生态系统和碳管理、碳-气候预测和气候决策提供信息。
Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the global carbon cycle and improving projections of the carbon-climate feedbacks. Remote sensing has played a vital role in this endeavor during the last five decades by quantifying carbon fluxes and stocks. The availability of satellite observations of the land surface since the 1970s, particularly the early 1980s, has made it feasible to quantify ecosystem carbon fluxes and stocks at regional to global scales. Here we provide a review of the advances in remote sensing of the terrestrial carbon cycle from the early 1970s to present. First, we present an overview of the terrestrial carbon cycle and remote sensing of carbon fluxes and stocks. Remote sensing data acquired in a broad wavelength range (visible, infrared, and microwave) of the electromagnetic spectrum have been used to estimate carbon fluxes and/or stocks. Second, we provide a historical overview of the key milestones in remote sensing of the terrestrial carbon cycle. Third, we review the platforms/sensors, methods, findings, and challenges in remote sensing of carbon fluxes. The remote sensing data and techniques used to quantify carbon fluxes include vegetation indices, light use efficiency models, terrestrial biosphere models, data-driven (or machine learning) approaches, solar-induced chlorophyll fluorescence (SIF), land surface temperature, and atmospheric inversions. Fourth, we review the platforms/sensors, methods, findings, and challenges in passive optical, microwave, and lidar remote sensing of biomass carbon stocks as well as remote sensing of soil organic carbon. Fifth, we review the progresses in remote sensing of disturbance impacts on the carbon cycle. Sixth, we also discuss the uncertainty and validation of the resulting carbon flux and stock estimates. Finally, we offer a forward-looking perspective and insights for future research and directions in remote sensing of the terrestrial carbon cycle. Remote sensing is anticipated to play an increasingly important role in carbon cycling studies in the future. This comprehensive and insightful review on 50 years of remote sensing of the terrestrial carbon cycle is timely and valuable and can benefit scientists in various research communities (e.g., carbon cycle, remote sensing, climate change, ecology) and inform ecosystem and carbon management, carbon-climate projections, and climate policymaking.